Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A calibration method for calibrating multiple joined images for an image output system, the image output system including a calibration system, a control device, and a plurality of image output devices coupled to the control device forming an image display area, the calibration method comprising: the control device generating a plurality of calibration image blocks, the plurality of calibration image blocks jointly constituting a calibration image which contains position information, the control device further outputting the plurality of calibration image blocks respectively to the plurality of image output devices, wherein the calibration image blocks outputted to at least two different ones of the plurality of image output devices are different from each other and are non-identical after any shifting, and wherein the image display area displays an output image; the calibration system capturing the output image; and the calibration system comparing the captured output image and the calibration image to generate adjustment parameters for adjusting the output image, wherein the adjustment parameters define one or more of: a 180 degree rotation of one of the calibration image blocks, a flipping of the calibration image block around a horizontal or vertical axis, and a swapping of relative positions of two of the calibration image blocks.
Image display and calibration. This invention addresses the problem of accurately aligning and correcting multiple images displayed across multiple output devices to form a cohesive image display area. The method involves a control device generating calibration image blocks that collectively form a complete calibration image with embedded position information. These blocks are then individually sent to different image output devices. Crucially, calibration image blocks sent to at least two different devices are designed to be distinct and not become identical even with simple positional shifts. The assembled display from these devices forms an output image. A calibration system then captures this displayed output image. By comparing the captured output image with the original calibration image, adjustment parameters are generated. These parameters can instruct transformations such as 180-degree rotations, horizontal or vertical flips of individual calibration blocks, or swapping the relative placement of blocks. This allows for fine-tuning the displayed image to compensate for misalignments or distortions across the multiple output devices.
2. The calibration method of claim 1 , further comprising: transmitting the adjustment parameters to the control device; and the control device adjusting at least one of the plurality of calibration image blocks based on the adjustment parameters, and outputting the at least one adjusted calibration image block to at least one of the plurality of image output devices.
This invention relates to a calibration method for image output devices, addressing the challenge of ensuring consistent and accurate image display across multiple devices. The method involves generating a plurality of calibration image blocks, each containing calibration data for a specific image output device. These blocks are transmitted to a control device, which processes them to determine adjustment parameters for correcting display discrepancies. The adjustment parameters are then transmitted back to the control device, which adjusts the calibration image blocks accordingly. The adjusted blocks are subsequently output to the respective image output devices, ensuring uniform calibration. The method may also involve analyzing the calibration data to identify display errors, such as color inaccuracies or brightness variations, and generating correction signals to mitigate these issues. The control device may further synchronize the calibration process across multiple image output devices to maintain consistency in large-scale display systems. This approach enhances image quality and uniformity in multi-device display environments.
3. The calibration method of claim 1 , wherein the adjustment parameters further defines an enlargement or reduction of the calibration image block, an adjustment of the image output device corresponding to the calibration image block, a keystone adjustment of the calibration image block, or a horizontal or vertical shift of the calibration image block.
This invention relates to a calibration method for image output devices, such as projectors or displays, to correct distortions and misalignments in projected or displayed images. The method involves generating a calibration image block and adjusting its parameters to achieve optimal image quality. The adjustment parameters include scaling the calibration image block to enlarge or reduce its size, modifying the output device settings corresponding to the calibration image block, applying keystone correction to compensate for geometric distortions, and shifting the calibration image block horizontally or vertically to align it properly. These adjustments ensure that the final output image is free from distortions, properly scaled, and correctly positioned. The method is particularly useful in multi-projector systems or large-screen displays where precise alignment and calibration are critical for seamless and accurate image reproduction. By dynamically adjusting these parameters, the system can compensate for environmental factors, device variations, or installation constraints, resulting in a high-quality, distortion-free display.
4. The calibration method of claim 1 , further comprising: transmitting the adjustment parameters to the control device; the control device transmitting the adjustment parameters to at least one of the image output devices; and the at least one image output device that receive the adjustment parameters adjusting the corresponding calibration image block based on the adjustment parameters before outputting the adjusted image block.
This invention relates to a calibration method for image output devices, addressing the challenge of ensuring consistent and accurate image display across multiple devices. The method involves generating a calibration image block containing reference patterns, which is then output by an image output device. A detection device captures the output calibration image block and analyzes it to determine adjustment parameters needed to correct any deviations in the displayed image. These adjustment parameters are transmitted to a control device, which then forwards them to the relevant image output devices. Upon receiving the adjustment parameters, the image output devices modify the corresponding calibration image block based on the parameters before outputting the adjusted image block. This ensures that the displayed image meets predefined accuracy standards. The method can be applied to various image output devices, including displays, projectors, or printers, to maintain uniformity in image quality across different devices. The calibration process is automated, reducing manual intervention and improving efficiency in large-scale display systems.
5. The calibration method of claim 1 , further comprising: mechanically coupling the plurality of image output devices to a position adjustment system; transmitting the adjustment parameters to the position adjustment system; and the position adjustment system adjusting physical positioning of at least one of the image output devices based on the adjustment parameters.
This invention relates to a calibration method for multi-device display systems, addressing misalignment issues in tiled or arrayed display configurations. The method involves determining adjustment parameters for multiple image output devices to correct positional discrepancies, ensuring seamless image display across the devices. The calibration process includes analyzing image data from the devices to identify misalignments, calculating adjustment parameters to correct these discrepancies, and applying the parameters to adjust the output of the devices. The invention further enhances this process by mechanically coupling the image output devices to a position adjustment system. The system receives the calculated adjustment parameters and physically repositions at least one of the devices based on these parameters, improving alignment accuracy beyond software-based corrections. This mechanical adjustment ensures precise physical positioning, reducing visual artifacts such as gaps or overlaps in the displayed image. The method is particularly useful in large-scale display applications where precise alignment is critical, such as digital signage, simulation environments, or medical imaging systems. By combining software-based calibration with mechanical adjustment, the invention provides a comprehensive solution for achieving optimal display uniformity and accuracy.
6. The calibration method of claim 1 , further comprising: using a sensor of the calibration system, obtaining a first position configuration information for the image display area; while capturing the output image in the image display area, the calibration system obtaining a second position configuration information of the calibration system itself using the sensor; and wherein the calibration system performs the comparing step using the first and the second configuration information.
This invention relates to a calibration method for image display systems, particularly for aligning or adjusting the display output based on positional data. The method addresses the challenge of ensuring accurate image rendering by accounting for positional variations between the display system and its environment. The calibration system includes a sensor that captures position configuration information of the image display area, such as coordinates or spatial orientation. During calibration, the system obtains a first set of position data for the display area. While capturing the output image, the system also acquires a second set of position data for itself using the same or a different sensor. The calibration process then compares these two sets of position data to determine adjustments needed for proper image alignment or correction. This ensures that the displayed image matches the intended output despite any positional discrepancies between the display system and its environment. The method improves accuracy in applications like augmented reality, projection systems, or multi-display setups where precise spatial alignment is critical.
7. The calibration method of claim 6 , wherein the step of obtaining the first position configuration information for the image display area comprises: aligning the calibration system with a representative plane of the image display area; and detecting a position information or gravity direction signal using the sensor.
This invention relates to a calibration method for an image display system, specifically addressing the challenge of accurately determining the spatial orientation and position of an image display area to ensure proper alignment and functionality. The method involves obtaining precise position configuration information for the display area by aligning a calibration system with a representative plane of the display area. Once aligned, the system detects position information or gravity direction signals using an integrated sensor, such as an accelerometer or gyroscope, to establish the display's spatial orientation relative to a reference frame. This calibration process ensures that the display system can accurately render images or projections in the intended orientation, compensating for any physical misalignment or environmental factors. The method may also include additional steps, such as capturing reference markers or calibration patterns within the display area to further refine positional accuracy. By leveraging sensor-based detection, the system achieves reliable calibration without requiring manual adjustments or complex external measurement tools, improving efficiency and precision in display alignment.
8. The calibration method of claim 6 , wherein the sensor is a gravity sensor, an acceleration sensor, a position sensor, an altimeter or an azimuth sensor.
This invention relates to calibration methods for various types of sensors, including gravity sensors, acceleration sensors, position sensors, altimeters, and azimuth sensors. The method addresses the challenge of ensuring accurate and reliable sensor measurements by providing a systematic approach to calibration. The calibration process involves determining and correcting sensor errors, such as bias, scale factor, and misalignment, to improve measurement accuracy. The method may include steps such as collecting sensor data under controlled conditions, analyzing the data to identify deviations from expected values, and applying correction factors to compensate for these deviations. By calibrating sensors of different types, the method ensures that they operate within specified performance parameters, enhancing the reliability of systems that depend on sensor inputs. This calibration technique is particularly useful in applications where precise measurements are critical, such as navigation, aerospace, automotive, and industrial automation. The method can be implemented in hardware, software, or a combination of both, depending on the specific sensor and application requirements.
9. The calibration method of claim 1 , wherein the calibration image is generated by the calibration system and transmitted to the control device, or generated by the control device.
A calibration method for imaging systems involves generating and using a calibration image to correct distortions or inaccuracies in captured images. The method addresses the problem of maintaining accurate image quality in systems where environmental factors, component variations, or operational conditions may introduce distortions. The calibration image, which contains known reference patterns or features, is used to measure and compensate for these distortions. The calibration image can be generated either by a dedicated calibration system or by the control device itself. When generated by the calibration system, the image is transmitted to the control device for processing. Alternatively, the control device may generate the calibration image internally, eliminating the need for an external system. This flexibility allows the method to be adapted to different system configurations, ensuring accurate calibration regardless of the source of the calibration image. The method may also include additional steps such as capturing the calibration image with the imaging system, analyzing the captured image to detect deviations from the expected reference patterns, and applying correction algorithms to adjust the imaging system's parameters. The goal is to ensure that subsequent images captured by the system are free from distortions, improving overall image quality and reliability. This approach is particularly useful in applications where precise image accuracy is critical, such as medical imaging, industrial inspection, or scientific research.
10. The method of claim 1 , wherein the calibration image contains a plurality of stripes, each stripe extending in a first direction across an entirety of the calibration image and being formed by varying color intensity or varying grayscale brightness that vary in a second direction which is non-parallel to the first direction, and wherein the color of the stripes, the grayscale brightness of the stripes, widths of stripes, spacing between adjacent stripes, or a combination of the spacing between adjacent stripes and the stripe widths are different for different stripes located at different positions of the calibration image.
This invention relates to a method for calibrating imaging systems using a calibration image with a specific pattern of stripes. The calibration image contains multiple stripes that extend fully across the image in a first direction, with each stripe varying in color intensity or grayscale brightness in a second direction that is not parallel to the first. The stripes differ in at least one of the following: color, grayscale brightness, width, spacing between adjacent stripes, or a combination of spacing and width, depending on their position within the calibration image. This patterned calibration image is used to assess and adjust the performance of imaging systems, such as cameras or sensors, by analyzing how the system captures and processes the varying stripe characteristics. The method ensures accurate calibration by providing a structured reference that accounts for spatial variations in the imaging system's response. The stripes' varying properties help identify and correct distortions, color inaccuracies, or brightness inconsistencies across different regions of the image sensor. This approach improves the precision and reliability of imaging devices in applications requiring high fidelity, such as medical imaging, industrial inspection, or scientific research.
11. The method of claim 10 , wherein the color intensity or grayscale brightness of the calibration image varies continuously in a wave pattern along the second direction, and wherein a frequency of the wave pattern gradually increases along the second direction.
This invention relates to image calibration techniques, specifically for adjusting display devices to ensure accurate color and brightness representation. The problem addressed is the need for precise calibration of displays to maintain consistent visual output, particularly in professional or high-precision applications where color accuracy and brightness uniformity are critical. The method involves generating a calibration image with varying color intensity or grayscale brightness in a wave pattern along a second direction (e.g., vertical or horizontal). The wave pattern's frequency increases gradually along this direction, creating a smooth transition from low to high spatial frequency variations. This allows for fine-tuned calibration by analyzing how the display renders different frequencies and intensities, enabling adjustments to correct distortions, color shifts, or brightness inconsistencies. The calibration image is designed to test the display's response across a range of frequencies, helping identify and compensate for spatial artifacts or non-linearities. By varying the wave pattern's frequency, the method ensures that both low-frequency (large-scale) and high-frequency (fine-detail) performance can be assessed and corrected. This approach is particularly useful for displays used in medical imaging, graphic design, or scientific visualization, where accuracy is paramount. The gradual frequency increase ensures that the calibration process is comprehensive, covering a wide spectrum of visual data.
12. An image output system comprising: a plurality of image output devices forming an image display area; a control device, for generating a plurality of calibration image blocks, the plurality of calibration image blocks jointly constituting a calibration image which contains position information, the control device further transmitting the plurality of calibration image blocks to the plurality of image output devices respectively, wherein the calibration image blocks transmitted to at least two different ones of the plurality of image output devices are different from each other and are non-identical after any shifting, and wherein the image display area displays an output image; and a calibration system, including an image capture module and a processor module, the image capture module capturing the output image, the processor module comparing the captured output image and the calibration image to generate adjustment parameters for adjusting the calibration image, wherein the adjustment parameters define one or more of: a 180 degree rotation of one of the calibration image blocks, a flipping of the calibration image block around a horizontal or vertical axis, and a swapping of relative positions of two of the calibration image blocks.
This invention relates to a system for calibrating multiple image output devices, such as displays or projectors, to form a seamless or accurately aligned image display area. The problem addressed is ensuring proper alignment, orientation, and positioning of individual image blocks from different devices to create a coherent output image without visible seams or misalignments. The system includes a control device that generates multiple calibration image blocks, each containing unique position information. These blocks are transmitted to different image output devices, with the key requirement that the blocks sent to at least two devices are distinct and cannot be made identical through any shifting or transformation. The output devices display these blocks as part of a larger calibration image. A calibration system, consisting of an image capture module and a processor module, captures the displayed output image and compares it to the original calibration image. The processor generates adjustment parameters to correct any misalignments. These parameters may include rotating a block by 180 degrees, flipping it horizontally or vertically, or swapping the positions of two blocks. The adjustments ensure that the final output image is properly aligned and seamless across all devices. This approach allows for automated calibration of multi-device display systems, improving visual consistency and reducing manual setup time.
13. The system of claim 12 , wherein the control device receives the adjustment parameters, and adjusts at least one of the plurality of calibration image blocks, including performing rotation, flipping around a horizontal or vertical axis, enlargement or reduction, horizontal or vertical shifting, or keystone adjustment of the calibration image block, or adjusting an image output device corresponding to the calibration image block.
This invention relates to a calibration system for image output devices, such as projectors or displays, that ensures accurate alignment and synchronization of multiple image blocks. The system addresses the challenge of maintaining consistent image quality across multiple devices, particularly in large-scale or multi-projector setups where misalignment, distortion, or color mismatches can degrade the overall display. The system includes a control device that processes calibration image blocks generated by a calibration image generator. These blocks are used to adjust the output of individual image output devices to achieve seamless integration. The control device receives adjustment parameters, which may include rotation, flipping (horizontal or vertical), scaling (enlargement or reduction), shifting (horizontal or vertical), keystone correction, or other geometric adjustments. These parameters are applied to either the calibration image blocks themselves or directly to the corresponding image output devices to correct alignment and distortion. The system ensures that each device contributes to a unified, high-quality display by dynamically adjusting the image blocks or device outputs based on the received parameters. This approach improves synchronization and reduces visual artifacts in multi-device imaging systems.
14. The system of claim 12 , wherein the control device receives the adjustment parameters and transmits the adjustment parameters to at least one of the image output devices, and wherein the at least one image output device performs adjustment of the corresponding calibration image block, wherein the adjustment parameters further define enlargement or reduction, horizontal or vertical shifting, or keystone adjustment of the calibration image block.
This invention relates to a system for adjusting calibration image blocks in a multi-device display setup. The system addresses the challenge of aligning and calibrating multiple image output devices to create a seamless or coordinated display. Each image output device generates a calibration image block, which may require adjustments to ensure proper alignment, scaling, or geometric correction across the display array. The system includes a control device that receives adjustment parameters, which define specific modifications to the calibration image blocks. These parameters enable adjustments such as enlargement or reduction of the image block, horizontal or vertical shifting, and keystone correction to compensate for projection angles or distortions. The control device transmits these parameters to the relevant image output devices, which then apply the adjustments to their respective calibration image blocks. This ensures that the displayed content is properly aligned and synchronized across the entire display system. The system may also include a sensor or input mechanism to detect misalignment or distortion, allowing the control device to generate or refine the adjustment parameters dynamically. The adjustments can be applied in real-time or during an initial calibration phase to optimize the display output. This approach enhances the visual coherence of multi-device displays, particularly in large-scale or tiled display configurations.
15. The system of claim 12 , further comprising a position adjustment system mechanically coupled to the plurality of image output devices, wherein the position adjustment system adjusts physical positioning of at least one of the image output devices based on the adjustment parameters.
This invention relates to a system for dynamically adjusting the positioning of image output devices, such as projectors or displays, to optimize image alignment and quality. The system addresses the challenge of maintaining precise image registration across multiple output devices, particularly in large-scale or multi-projection environments where misalignment can degrade visual performance. The system includes a plurality of image output devices configured to project or display images onto a target surface. Each device is capable of generating adjustment parameters, which may include positional, angular, or focal adjustments needed to correct misalignment. These parameters are derived from sensor data, calibration routines, or user inputs. A position adjustment system is mechanically coupled to the image output devices. This system physically repositions at least one of the devices based on the adjustment parameters, ensuring that the images from all devices are properly aligned. The adjustment system may include actuators, motors, or other mechanical components that translate the adjustment parameters into precise positional changes. This dynamic adjustment capability allows the system to compensate for environmental factors, device drift, or installation inaccuracies, maintaining optimal image quality without manual intervention. The invention enhances the reliability and performance of multi-device display systems in applications such as large-format projection, digital signage, or immersive environments.
16. The system of claim 12 , wherein the calibration system further comprises at least one sensor for obtaining at least one of azimuth signal, position signal, altitude signal or gravity signal of a representative plane of the image display area, or obtaining at least one of azimuth signal, position signal, or altitude signal of the capture module when capturing the output image.
This invention relates to a calibration system for image display devices, particularly for aligning captured images with a display area. The system addresses the challenge of accurately mapping and calibrating the spatial orientation of an image display area to ensure proper alignment with captured images, which is critical for applications like augmented reality, projection mapping, or spatial computing. The calibration system includes at least one sensor that measures spatial parameters such as azimuth, position, altitude, or gravity signals. These measurements are taken either from a representative plane of the image display area or from the capture module (e.g., a camera) when it captures an output image. The sensor data helps determine the relative orientation and position of the display area and the capture module, enabling precise calibration. This ensures that the displayed image aligns correctly with the physical environment or the intended projection surface. The system may also include a processor that processes the sensor data to generate calibration parameters, which are then used to adjust the display or capture module to achieve accurate alignment. The calibration process may involve compensating for environmental factors, device misalignment, or dynamic changes in the display or capture module's position. The invention improves the accuracy and reliability of image display systems in applications requiring precise spatial alignment.
17. The system of claim 16 , wherein the sensor is a gravity sensor, an acceleration sensor, a position sensor, an altimeter or an azimuth sensor.
A system for monitoring and analyzing physical parameters of an object or environment includes a sensor module configured to detect and measure specific physical characteristics. The sensor module may incorporate various types of sensors, such as gravity sensors, acceleration sensors, position sensors, altimeters, or azimuth sensors, to gather data related to movement, orientation, elevation, or directional positioning. The system processes the sensor data to derive insights, such as detecting changes in motion, altitude, or spatial coordinates, which can be used for applications like navigation, stability control, or environmental monitoring. The sensor module is designed to interface with a processing unit that analyzes the collected data, enabling real-time or post-processing evaluation of the object's or environment's state. This system enhances accuracy and reliability in tracking physical parameters, addressing challenges in environments where precise measurement of movement, position, or orientation is critical. The integration of multiple sensor types allows for comprehensive data collection, improving the system's adaptability to different operational scenarios.
18. The system of claim 12 , wherein the calibration image is generated by the calibration system and transmitted to the control device, or generated by the control device.
A system for calibrating imaging devices, particularly in applications requiring precise alignment or measurement, such as medical imaging, industrial inspection, or augmented reality. The system addresses the challenge of ensuring accurate calibration of imaging devices to maintain consistency and reliability in captured data. The calibration process involves generating a calibration image, which serves as a reference for adjusting the imaging device's parameters to correct distortions, misalignments, or other inaccuracies. The calibration image can be generated by a dedicated calibration system and then transmitted to a control device responsible for processing the calibration data. Alternatively, the calibration image can be generated directly by the control device itself. This flexibility allows the system to adapt to different operational environments and hardware configurations. The calibration image typically contains known patterns or markers that enable the control device to analyze and adjust the imaging device's settings, such as lens distortion correction, geometric alignment, or color calibration. By providing multiple methods for generating the calibration image, the system ensures compatibility with various calibration workflows and hardware setups, improving the overall accuracy and efficiency of the calibration process. This approach is particularly useful in applications where precise imaging is critical, such as medical diagnostics, industrial quality control, or augmented reality systems.
19. The system of claim 12 , wherein the calibration image contains a plurality of stripes, each stripe extending in a first direction across an entirety of the calibration image and being formed by varying color intensity or varying grayscale brightness that vary in a second direction which is non-parallel to the first direction, and wherein the color of the stripes, the grayscale brightness of the stripes, widths of stripes, spacing between adjacent stripes, or a combination of the spacing between adjacent stripes and the stripe widths are different for different stripes located at different positions of the calibration image.
A system for image calibration uses a calibration image containing multiple stripes to adjust display or imaging devices. The stripes extend fully across the calibration image in a first direction, with their color intensity or grayscale brightness varying in a second, non-parallel direction. Each stripe has distinct properties, such as color, brightness, width, or spacing between adjacent stripes, depending on their position in the image. These variations allow precise calibration of display devices or imaging systems by analyzing how the stripes are rendered or captured. The stripes may differ in color, grayscale brightness, width, spacing, or a combination of spacing and width, ensuring accurate calibration across different regions of the image. This method improves color accuracy, brightness uniformity, and spatial resolution in display or imaging applications. The calibration image is designed to detect and correct distortions, ensuring consistent performance across the entire display or imaging system.
20. The system of claim 19 , wherein the color intensity or grayscale brightness of the calibration image varies continuously in a wave pattern along the second direction, and wherein a frequency of the wave pattern gradually increases along the second direction.
This invention relates to a calibration system for imaging devices, particularly for correcting distortions or inaccuracies in captured images. The system generates a calibration image with a color intensity or grayscale brightness that varies continuously in a wave pattern along a second direction, such as a vertical or horizontal axis. The wave pattern's frequency gradually increases along this direction, creating a structured gradient that helps identify and correct spatial distortions, lens aberrations, or sensor non-linearities in the imaging device. The calibration image is displayed or projected onto a target surface, and the imaging device captures the image for analysis. The system then processes the captured image to measure deviations from the expected wave pattern, allowing for precise calibration of the imaging system. This approach improves image accuracy by compensating for optical and electronic imperfections in the imaging hardware. The gradual frequency increase in the wave pattern enhances the system's ability to detect and correct fine distortions across the entire field of view. The calibration process may be automated, enabling real-time adjustments for dynamic imaging environments.
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December 3, 2019
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